Physical Sciences and Mathematics Commons^™

How Does Information Technology Effect Development? Integrating Theory And Practice Into A Process Model, Sajda Qureshi

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

The concept of development suggests that countries and regions grow to become self-sustaining partners in what is being called the global economy. In more recent years this concept has been synonymous with the emergence of an “information society” whose wheels are oiled by information sharing and the application of knowledge. Some international agencies even propose that information and communications technologies enable development to be achieved more effectively and efficiently. While success stories abound, there is a recognition that not all investments in information technology bring about growth or economic development. So the question remains: how does information technology effect development? …

Information Technology (It) Appropriateness: The Contingency Theory Of “Fit” And It Implementation In Small And Medium Enterprises, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

There is little doubt that advanced information and communication technologies (IT) arc changing the way businesses operate and conduct commerce. As the advent of a more secure Internet and new transmission standards makes it easier and cheaper for businesses to conduct inter-organizational commerce, it is incumbent upon SME managers to assess whether implementing new technologies such as Electronic Data Interchange (EDI) over the Internet, XML or web-based e-commerce is the "right thing to do" for their organizations. The key question implicit in this decision is addressed in this paper: "Under what conditions should businesses consider themselves likely candidates for (new) …

Hierarchical Kohonenen Net For Anomaly Detection In Network Security, Suseela T. Sarasamma, Qiuming Zhu, Julie Huff

Computer Science Faculty Publications

A novel multilevel hierarchicalKohonen Net (K-Map) for an intrusion detection system is presented. Each level of the hierarchical map is modeled as a simple winner-take-all K-Map. One significant advantage of this multilevel hierarchical K-Map is its computational efficiency. Unlike other statistical anomaly detection methods such as nearest neighbor approach, K-means clustering or probabilistic analysis that employ distance computation in the feature space to identify the outliers, our approach does not involve costly point-to-point computation in organizing the data into clusters. Another advantage is the reduced network size. We use the classification capability of the K-Map on selected dimensions of data …

Cmodels – Sat-Based Disjunctive Answer Set Solver, Yuliya Lierler

Computer Science Faculty Proceedings & Presentations

Disjunctive logic programming under the stable model semantics [GL91] is a new methodology called answer set programming (ASP) for solving combinatorial search problems. This programming method uses answer set solvers, such as DLV [Lea05], GNT [Jea05], SMODELS [SS05], ASSAT [LZ02], CMODELS [Lie05a]. Systems DLV and GNT are more general as they work with the class of disjunctive logic programs, while other systems cover only normal programs. DLV is uniquely designed to find the answer sets for disjunctive logic programs. On the other hand, GNT first generates possible stable model candidates and then tests the candidate on the minimality using system …

Cmodels For Tight Disjunctive Logic Programs, Yuliya Lierler

Computer Science Faculty Proceedings & Presentations

Disjunctive logic programming under the stable model semantics [GL91] is a new answer set programming (ASP) methodology for solving combinatorial search problems. It is a form of declarative programming related to logic programming languages, such as Prolog, where the solutions to a problem are represented by answer sets, and not by answer substitutions produced in response to a query as in convential logic programming. Instead of Prolog systems, this programming method uses answer set solvers, such as smodels1, smodelscc2, cmodels3, dlv4, and gnt1. These systems made it possible for ASP to be successfully applied in such areas as planning, bounded …

Disjunctive Answer Set Programming Via Satisfiability, Yuliya Lierler

Computer Science Faculty Proceedings & Presentations

Using SAT solvers as inference engines in answer set programming systems showed to be a promising approach in building efficient systems. Nowadays SAT based answer set programming systems successfully work with nondisjunctive programs. This paper proposes a way to use SAT solvers for finding answer sets for disjunctive logic programs. We implement two different ways of SAT solver invocation used in nondisjunctive answer set programming. The algorithms are based on the definition of completion for disjunctive programs and the extension of loop formula to the disjunctive case. We propose the necessary modifications to the algorithms known for nondisjunctive programs in …

How To Overcome The Knowledge Paradox: Activate Knowledge Identity, Not Just Organize Information, Sajda Qureshi, Peter Keen

Information Systems and Quantitative Analysis Faculty Proceedings & Presentations

A paradox appears to thwart traditional knowledge sharing efforts in organizations: the greater the benefit of a piece of knowledge to an organization the less likely that it will be shared. This paper suggests that in order to mobilize knowledge where there is demand for it, it has to be activated. This paper considers the knowledge identity of the person whose knowledge is to be activated and uses these identities to analyze a case study in which highly distributed knowledge is activated. The analysis reveals activation effects needed to mobilize each of the knowledge identities.

Leveraging Human Genomic Information To Identify Nonhuman Primate Sequences For Expression Array Development, Eliot R. Spindel, Mark Pauley, Yibing Jia, Courtney Gravett, Shaun L. Thompson, Nicholas F. Boyle, Sergio R. Ojeda, Robert B. Norgren Jr.

Interdisciplinary Informatics Faculty Publications

Background: Nonhuman primates (NHPs) are essential for biomedical research due to their similarities to humans. The utility of NHPs will be greatly increased by the application of genomicsbased approaches such as gene expression profiling. Sequence information from the 3' end of genes is the key resource needed to create oligonucleotide expression arrays.

Results: We have developed the algorithms and procedures necessary to quickly acquire sequence information from the 3' end of nonhuman primate orthologs of human genes. To accomplish this, we identified terminal exons of over 15,000 human genes by aligning mRNA sequences with genomic sequence. We found …

Adaptive Decision Support For Academic Course Scheduling Using Intelligent Software Agents, Prithviraj Dasgupta, Deepak Khazanchi

Information Systems and Quantitative Analysis Faculty Publications

Academic course scheduling is a complex operation that requires the interaction between different users including instructors and course schedulers to satisfy conflicting constraints in an optimal manner. Traditionally, this problem has been addressed as a constraint satisfaction problem where the constraints are stationary over time. In this paper, we address academic course scheduling as a dynamic decision support problem using an agent-enabled adaptive decision support system. In this paper, we describe the Intelligent Agent Enabled Decision Support (IAEDS) system, which employs software agents to assist humans in making strategic decisions under dynamic and uncertain conditions. The IAEDS system has a …